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Research on user interest clustering algorithm based on PLSA model

  • 2013-09-17
  • 114.45KB
  • Points it Requires : 2

The user access log data is analyzed, the session-type matrix is ​​constructed, and the probabilistic latent semantic analysis model is used to establish a suitable user interest clustering analysis algorithm to improve the accuracy of user interest clustering. The experimental results verify the effectiveness of the algorithm.

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